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Charlie You에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Charlie You 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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The Future of ML and AI Infrastructure and Ethics with Dan Jeffries (Pachyderm, AI Infrastructure Alliance)

1:36:50
 
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Manage episode 287514609 series 2849409
Charlie You에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Charlie You 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Dan Jeffries is the chief technical evangelist at Pachyderm, a leading data science platform. He's a prominent writer and speaker on all things related to the future. He's been in software for over two decades, many of those at Redhat, and is the founder of the AI Infrastructure Alliance and Practical AI Ethics.

Learn more about Dan:

https://twitter.com/Dan_Jeffries1

https://medium.com/@dan.jeffries

Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://cyou.ai/newsletter

Follow Charlie on Twitter: https://twitter.com/CharlieYouAI

Subscribe to ML Engineered: https://mlengineered.com/listen

Comments? Questions? Submit them here: http://bit.ly/mle-survey

Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/

Timestamps:

02:15 How Dan got started in computer science

06:50 What Dan is most excited about in AI

14:45 Where we are in the adoption curve of ML

20:40 The "Canonical Stack" of ML

32:00 Dan's goal for the AI Infrastructure Alliance

40:55 "Problems that ML startups don't know they're going to have"

49:00 Closed vs open source tools in the Canonical Stack

01:00:05 Building out the "boring" part of the infrastructure to enable exciting applications

01:08:40 Dan's practical approach to AI Ethics

01:23:50 Rapid fire questions

Links:

Pachyderm

AI Infrastructure Alliance

Practical AI Ethics Alliance

Rise of the Canonical Stack in Machine Learning

Rise of AI - The Age of AI in 2030

Google Magenta

AlphaGo Documentary

Thinking in Bets

A History of the World in 6 Glasses

Super-Thinking

  continue reading

32 에피소드

Artwork
icon공유
 
Manage episode 287514609 series 2849409
Charlie You에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Charlie You 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Dan Jeffries is the chief technical evangelist at Pachyderm, a leading data science platform. He's a prominent writer and speaker on all things related to the future. He's been in software for over two decades, many of those at Redhat, and is the founder of the AI Infrastructure Alliance and Practical AI Ethics.

Learn more about Dan:

https://twitter.com/Dan_Jeffries1

https://medium.com/@dan.jeffries

Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://cyou.ai/newsletter

Follow Charlie on Twitter: https://twitter.com/CharlieYouAI

Subscribe to ML Engineered: https://mlengineered.com/listen

Comments? Questions? Submit them here: http://bit.ly/mle-survey

Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/

Timestamps:

02:15 How Dan got started in computer science

06:50 What Dan is most excited about in AI

14:45 Where we are in the adoption curve of ML

20:40 The "Canonical Stack" of ML

32:00 Dan's goal for the AI Infrastructure Alliance

40:55 "Problems that ML startups don't know they're going to have"

49:00 Closed vs open source tools in the Canonical Stack

01:00:05 Building out the "boring" part of the infrastructure to enable exciting applications

01:08:40 Dan's practical approach to AI Ethics

01:23:50 Rapid fire questions

Links:

Pachyderm

AI Infrastructure Alliance

Practical AI Ethics Alliance

Rise of the Canonical Stack in Machine Learning

Rise of AI - The Age of AI in 2030

Google Magenta

AlphaGo Documentary

Thinking in Bets

A History of the World in 6 Glasses

Super-Thinking

  continue reading

32 에피소드

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